Network Process Research Articles

Construction and Case Analysis of a Comprehensive Evaluation System for Rural Building Energy Consumption from an Energy–Building–Behavior Composite Perspective

A comprehensive evaluation system for rural building energy consumption from an innovative composite perspective was established, suitable for southwest of China. The index system was established by brainstorming and the Delphi method, the weights of the comprehensive evaluation model were calculated by the analytic network process (ANP) method, and the scoring criteria of all evaluation indexes were levelled based on fuzzy evaluation theory. The system model was verified by case analysis, in the countryside around Chengdu Second Circle. Taking into account the highest weight, lowest comprehensive score, and widest range of comprehensive scores, three key factors were identified, namely percentage of clean energy use, thermal performance of exterior walls, and implementation rate of energy-saving measures. The distribution of comprehensive indicators and evaluation factors had certain spatial distribution characteristics, and the overall spatial distribution was characteristically high in the southeast and low in the northwest. Finally, based on key factors and regional distribution characteristics, energy-saving measures are proposed from three aspects: increasing sunrooms, adding wall insulation layers, and standardizing air conditioning temperature settings.

The Application of AHP on Selected 100 Islamic Economics and Finance Research

This study tries to review the application of research using the Analytic Network Process method in the theme of Islamic economics and finance. It uses descriptive statistical analysis based on selected 100 article publications. The entire sample publications have been published from 2008 to 2019. The results show that research using the AHP method is still dominated by discussing themes related to Islamic banks, the Halal industry, and Islamic social finance such as waqf, zakat, and Islamic microfinance. The countries with the most AHP case studies are Indonesia and Malaysia. Aam Slamet Rusydiana and Nurul Huda is the author who the most researched about AHP. The software most often used in the AHP method is expert choice. Islamic Bank Selection Criteria in Malaysia, An AHP Approach is the research that most often becomes a source of reference by other researchers.

Decision making in human resource management: a systematic review of the applications of analytic hierarchy process.

The Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), and Analytic Network Process (ANP) methods are widely used for decision-making across various fields, and have shown success in numerous applications within human resource management (HRM). The purpose of this study is to present a systematic literature review on the applications of AHP, FAHP, and ANP in human resource management. The search process encompassed two main online databases, Scopus and Web of Science. This research covers a total of 180 application papers. To help readers extract quick and meaningful information, references are summarized in tabular format. The results showed that these methods have been applied in various domains of HRM such as performance management and appraisal, selecting human resources, talent attraction and retention, intellectual capital, workplace safety, reward management, e-HRM, green HRM, etc. To the best of our knowledge, no comprehensive research review has yet been conducted on the applications of AHP in HRM.

Life cycle assessment and multi-criteria decision-making for sustainable building parts: criteria, methods, and application

PurposeSustainable building design relies heavily on building parts, with crucial consideration for climate and environmental impact. Due to numerous criteria and diverse alternatives, employing multi-criteria decision-making (MCDM) to choose the best alternative is essential. Yet, relevant criteria and suitable MCDM methods for life cycle-based building planning still need to be determined. This study highlights prevalent environmental criteria and offers guidance on MCDM approaches for sustainable building parts.MethodsThis study introduces an innovative approach by integrating life cycle assessment and MCDM. This provides comprehensive decision support for planners. A systematic literature review identifies environmental criteria for building parts and is validated in expert workshops. Thus, the relevance of criteria across the building life cycle is established. Furthermore, the study analyzes MCDM approaches in the built environment. From this, the study employs and evaluates the Analytical Network Process (ANP) and Analytical Hierarchy Process (AHP) in a case study. Thereby, it offers insights into effective decision-making methodologies for sustainable building practices.ResultsThis research categorizes environmental criteria for building parts and buildings into emissions, energy, resources, and circularity. Among 26 building part-related criteria, the global warming potential is highlighted. While the AHP is widely used in MCDM, a standardized method in planning processes is yet to emerge. Applying the ANP and AHP reveals similar rankings for the best and worst alternatives in a case study focused on selecting the optimal ceiling structure. Ribbed or box slab ceiling constructions are favored over reinforced concrete and composite timber-concrete constructions.ConclusionsThis study presents a novel method for life cycle-based MCDM challenges, identifying key environmental criteria. While material correlations exist, evaluating building parts demands simultaneous consideration of multiple criteria. Future research aims to compare further MCDM methods regarding their applicability, transparency, and ranking to enhance decision-making in sustainable construction. These investigations are essential for refining decision-making processes in the built environment, ensuring effective and transparent sustainability planning approaches.

Analisis Penerapan Metode Analytical Network Process (ANP) Pada Pemilihan Tempat Kost Terbaik di Daerah Kampus ITK

The Analytic Network Process (ANP) method is an approach that can be used to represent the level of importance from various parties by considering the interconnected relationships between criteria and sub-criteria. This model is a development of the AHP method, thus it has a higher level of complexity compared to the AHP method. In this paper, the issue addressed is the selection of the best boarding house location in the ITK campus area located at Km. 15 Karang Joang, North Balikpapan. This selection is done using the super decision software, aiming to determine the ranking order of boarding houses that have the best quality or alternatives according to the students of the Kalimantan Institute of Technology (ITK) through questionnaire filling and interviews with the students. There are three criteria used in this selection, first is the distance with sub-criteria of distance from the boarding house to the campus and distance from the boarding house to the city. Second, the price criterion with sub-criteria of monthly rent and electricity-water costs, and others. Third, the facilities criterion with sub-criteria of bathroom, parking, and kitchen. As for the alternatives, 10 boarding houses are used. Based on the research results, the alternative solutions obtained are ranked in the top 3 boarding houses. The first is Kos Maghfiroh, the second is Kos Hira, and the third is Kos Griya Mansur

Fuzzy cognitive network process for software reliability and quality measurement: comparisons with fuzzy analytic hierarchy process

Software reliability and quality measurement has a long-lasting impact on the final products and user experiences. The analytic hierarchy process (AHP) and its various hybrid models, including fuzzy AHP, have been applied to software reliability and quality measurement in various aspects. Related studies indicate that limitations in the paired ratio scales of AHP may lead to misapplications, which most AHP users might not be aware of. To address this issue, the fuzzy cognitive network process (FCNP) is proposed as a promising alternative applied for software reliability and quality measurement. One application based Fuzzy AHP is revisited to demonstrate the feasibility and usability of the FCNP. The paper discusses conversion from the FAHP to the FCNP, examining their reproducibility, comparability, merits, and limitations. The proposed fuzzy CNP method can a valuable tool for software customers, designers, developers, testers, and purchasers, to evaluate the level of software reliability and quality in general applications within intelligent environment.

Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties

As equipment systems are gradually moving toward large-scale and complex that comprise multi-components, the correlation between components significantly impacts the system’s degradation. Meanwhile, the system degradation process is subject to aleatory uncertainty due to inherent fluctuations, epistemic uncertainty since insufficient information, and measurement uncertainty affected by measurement noise. In this paper, a system-level RUL prediction method based on deep belief network, self-organizing map neural network and uncertain random process is proposed by combining the advantages of deep learning in extracting degraded features with the advantages of statistical-based models in quantifying uncertainty. Firstly, the monitoring variables that characterize the equipment degradation trend are selected based on multi-sensor monitoring information of a single component. Deep belief network is utilized to extract component-level deep hidden degradation features. Subsequently, a system-level health index construction method combining mutual information and self-organizing map neural network is proposed according to correlation analysis between components. Finally, a health index evolution model is constructed to predict system RUL by integrating the advantages of the multi-phase degradation model based on uncertain random processes quantifying multiple uncertainties. The superiority of the proposed method is verified through the C-MAPSS dataset provided by NASA.

The priority scale determination in sustainable maintenance strategy for university building based on the analytical network process (ANP)

The priority scale determination in sustainable maintenance strategy for university building based on the analytical network process (ANP)

Spatial distribution and equity of urban green space provision in Tehran Metropolis using hybrid Factor Analysis and Analytic Network Process (F’ANP) model

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RESP2: An uncertainty aware multi-target multi-property optimization AI pipeline for antibody discovery.

Discovery of therapeutic antibodies against infectious disease pathogens presents distinct challenges. Ideal candidates must possess not only the properties required for any therapeutic antibody (e.g. specificity, low immunogenicity) but also high affinity to many mutants of the target antigen. Here we present RESP2, an enhanced version of our RESP pipeline, designed for the discovery of antibodies against diverse antigens with simultaneously optimized developability properties. RESP2 provides a suite of methods to estimate the uncertainty of predictions including a new model combining neural network and Gaussian process with great flexibility to model protein engineering data, which accelerates in silico directed evolution to identify tight binders even those not present in the original screening library. An interpretable model is then exploited to assess antibody humanness to minimize immunogenicity risk of the selected candidates. To demonstrate the power of this pipeline, we use the receptor binding domain (RBD) of the COVID-19 spike protein as a case study, and discover a highly human antibody with broad (mid to high-affinity) binding to at least 8 different variants of the RBD. These results illustrate the advantages of this pipeline for antibody discovery against a challenging target. The code needed to reproduce the experiments in this paper is available at https://github.com/Wang-lab-UCSD/RESP2.

IDENTIFYING PROBLEMS AND SOLUTIONS OF THE E-COURT SYSTEM OF RELIGIOUS COURTS IN INDONESIA: AN ANALYTIC NETWORK PROCESS STUDY

Many nations are creating E-courts to simplify court operations. However, religious e-Courts take more work to execute. This study hasidentified religious court e-Court implementation issues and solutions using Delphi and ANP. It first employed Delphi and a literature review to interview experts face-to-face. Eight judges, I.T. workers, and attorneys from three religious court districts analysed the model using a priority scale with an Analytic Network Process (ANP). The study found that infrastructure or equipment from the application of the e-Court system is the main issue, with a geometric mean of 0.306, followed by Human Resources (0.262), the system (0.219), and regulation (0.213). Improving e-Court system regulation (0.850) and infrastructure were the primary solutions (0.770). This paper details cluster priority solutions and issues. This study suggests that the highest religious court authority focuses on infrastructure, human resources, e-Court operational systems, and associated legislations. The government must adopt the e-Court system and registration laws to encourage more active socialising. The study prioritises e-Court implementation issues in the religious courts of Indonesia.

Analysis of Human Resource Performance Using the Human Resources Scorecard Method in The Production Department at PT. X

PT X is a manufacturing company engaged in the sector of herbal medicines, cosmetics, household supplies, and medical equipment. At PT X there are several problems that can lead to a decrease in the performance of human resources in the company's production department, including the production of capsule drugs that do not reach their targets, a lack of employee motivation at work, and a lack of employee discipline. Based on these issues, PT X is required to implement a performance measurement based on the Human Resources Scorecard (HRSC) method and the Analytic Network Process (ANP) method in order to weight its performance indicators. The objective of this study is to measure the human resource performance of the production department of PT X and determine the performance indicators that require the most improvement. The results of measuring human resource performance using the Human Resource Scorecard indicate that the value of human resource performance in employees of PT X is 2,555613 and it can be concluded that the HR performance is in the not good category because the HR performance value of production department of PT X is in the range of 1,8 - 2,6. The perspective that must be prioritized by PT X in improving its HR performance is the financial perspective because it has the lowest perspective value, precisely on the objective strategy of increasing employee effectiveness because it has the greatest priority weight and the KPI achievement score is very low, which is 1.

Topological network and fuzzy AHP modeling framework for the suitability analysis of evacuation shelters: A case study in Japan

Evacuation shelters play a critical role in disasters, providing a safe environment for evacuees to remain safe from threats or disasters. In this study, we analyze the suitability of evacuation shelters using a topological network and fuzzy analytic hierarchy process (AHP) modeling framework with GIS applications, in which potential shelters are assessed according to their accessibility, reachability, and critical criteria within an evacuation network. The accessibility and reachability of evacuation shelters are identified using network analysis, whereas the critical criteria for evacuation shelters are deduced from the referenced requirements. The accessibility, reachability, and criteria of shelters are then weighted with fuzzy AHP analysis, and the suitability of potential shelters for use as evacuation shelters are then analyzed. An illustrative case study was conducted to illustrate the modeling framework; an evacuation network with 2797 nodes was constructed in the study area. Of the 2797 nodes, nine were identified as suitable for use as evacuation shelters. These nine included four accredited designated evacuation shelters and another five potential shelters as alternative shelters. The modeling framework in this study provides a systematic approach to identifying the characteristics of potential shelters, which is expected to be useful in decision making for evacuation planning, disaster preparedness and response, and postdisaster activities in recovery and restoration.

An integrated approach for economic evaluation of environmental and health costs of occupational diseases in the oil industry

The health sector is one of the components of development, social welfare and economic growth. The purpose of this study was to develop an economic evaluation model of the environmental and health costs of occupational diseases by hybrid approach. To achieve the study goal, a taxonomy of economic evaluation model of the environmental and health costs of occupational diseases has been developed. The Delphi method was used to identify health and environmental criteria and the analytic network process (ANP) method was used to weigh the sub-criteria. Finally, health and environmental cost were estimated based on the available information. Naft Subspecialty Hospital in Tehran, Iran (NSHT), was selected as the place of case study. In this study, eight and eleven sub-criteria were identified in the health and environmental sector, respectively. The ANP results indicated that the medicine and medical equipment cost criteria with a weight of 0.312 in the Medical sector, and the special and infectious waste cost criteria with a weight of 0.085 in the environmental sector were the most significant cost criteria in NSHT. Furthermore, the parametric model findings indicated that 99.84 and 0.16% of the total costs are associated with health and environmental costs, respectively. The findings indicated that 61.3% of the costs of the health sector were associated with the two sectors of medicine and medical equipment and the cost-of-service personnel, and 91.7% of the costs of the environmental sector are associated with wastewater treatment and the cost of electricity consumption. This study tried to present a quantitative model of the health and environmental costs of NSHT. Implemention of this integrated model can be a practical and effective step in allocating resources and prioritize interventions.

Application of Fuzzy Analytic Network Process in Selection of Bio-composite Filament for Fused Deposition Modeling Process

Application of Fuzzy Analytic Network Process in Selection of Bio-composite Filament for Fused Deposition Modeling Process

Capturing the barriers and strategic solutions for women empowerment: Delphy analytical network process

Even though Indonesia faces significant gender disparities across various sectors, including education, health, employment, and political representation, there remains a dearth of research addressing the barriers and strategic solutions for women's empowerment, which is the aim of this study. A quantitative method driven by the Modified Penta Helix Model (MPM) and the Delphi Analytical Network Process (DANP) was used. On the one hand, MPM was used to establish renewal between the five strategic dimensions and other additional elements such as economic, socio-cultural, and education and training. On the other hand, D-ANP developed indicators based on Focus Group Discussions (FGD) outcomes, in-depth interviews, and structured questionnaires. According to this study, education and training are essential in empowering women. The results of this study indicate the main problems in empowering women, which are divided into eight main dimensions: economic, socio-cultural, education and training, government support, association support, academic support, media support, and private sector support. Education and training were the most critical problems in empowering women. Collaboration between academics, business, community, government, and media is essential to develop effective education and training programs to empower women in Indonesia. Through employing D-ANP and MPM methodologies, this study suggests a model of women's economic empowerment to improve the quality of Indonesian women and Indonesia's position in the Women's Empowerment Index.

Numerical Performance of the Fractional Direct Spreading Cholera Disease Model: An Artificial Neural Network Approach

The current investigation examines the numerical performance of the fractional-order endemic disease model based on the direct spreading of cholera by applying the neuro-computing Bayesian regularization (BR) neural network process. The purpose is to present the numerical solutions of the fractional-order model, which provides more precise solutions as compared to the integer-order one. Real values based on the parameters can be obtained and one can achieve better results by utilizing these values. The mathematical form of the fractional direct spreading cholera disease is categorized as susceptible, infected, treatment, and recovered, which represents a nonlinear model. The construction of the dataset is performed through the implicit Runge–Kutta method, which is used to lessen the mean square error by taking 74% of the data for training, while 8% is used for both validation and testing. Twenty-two neurons and the log-sigmoid fitness function in the hidden layer are used in the stochastic neural network process. The optimization of BR is performed in order to solve the direct spreading cholera disease problem. The accuracy of the stochastic process is authenticated through the valuation of the outputs, whereas the negligible calculated absolute error values demonstrate the approach’s correctness. Furthermore, the statistical operator performance establishes the reliability of the proposed scheme.

Growth Acceleration Strategy Sharia Regional Development Banks (BPD) In Indonesia

This study aims to formulate the core problem by choosing what is the best strategic alternative that can be taken by Islamic business units to accelerate the growth of the Islamic banking industry. By exploring aspects of internal and external problems. Then the solution from internal and external of various acceleration strategies based on expert opinion related to the phenomenon of the researcher's problem. This research methodology is descriptive qualitative with a quantitative approach and research using ANP (Analytic Network Process) analysis tools. In this study using experts totaling 5 people consisting of academics, practitioners and regulatory experts. The results of this study indicate that: 1). There are two main problems, namely external and internal problems. The most prioritized problem in determining the acceleration strategy is the external problem with an average combined value of 53%, while for the W (Rater Agreement) value of all respondents is 0.36. The most prioritized external problem is the problem of local government support with an average value of 35% with a Rater Agreement of all respondents of 0.64, while the priority problem in internal problems is the problem of capital. 2) for the most prioritized solution, namely the external solution with a combined average value of 54%, while for the W (Rater Agreement) value of all respondents is 1. In the most prioritized external solution, namely local government support, the W (Rater Agreement) value is 0.84. With an average value of 35%. 3. The most prioritized strategy is conversion with an average value of 26%, while for the marger, spin off and acquisition strategies it is around 25%, with a W (Rater Agreement) value of 0.46, meaning that the answers of the respondents have moderate agreement.

Cross-sector partnerships in the South City Choice Neighborhoods Initiative (CNI): An exploratory case study of collaboration network structure and process in Memphis, Tennessee

ABSTRACT Mixed-income initiatives represent promising anti-poverty strategies that assist families living in public housing in the United States. However, little is known about the extensive cross-sector partnerships required for implementation. We address these knowledge gaps by exploring partnerships within the South City Choice Neighborhoods Initiative (CNI) in Memphis, Tennessee. The following research questions guide the study: (1) what is the structure of inter-organizational relationships within the South City CNI partner network? and (2) what collaboration processes emerge within the network structure regarding communication, collaboration, and trust? Utilizing an exploratory case study design that leveraged social network analysis (SNA) and in-depth interviews, we found that the South City CNI was relatively dense and moderately centralized. A core group of partners was central for coordinating information and resources, but roles and positionality changed across each network. The presence of a high-capacity lead organization and multiple bridging organizations aided implementation. We conclude by discussing implications for practice, policy, and research.

Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods

Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods